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The Voluntary Siting Process, a Case Study in New Jersey

2004· article· en· W1973843785 on OpenAlexaboutno aff
J.R. Stencel, Kenneth Y. Lee

Bibliographic record

VenueHealth Physics · 2004
Typearticle
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsnot available
Fundersnot available
KeywordsRadioactive wasteNuclear powerWaste disposalOpposition (politics)Waste managementGovernment (linguistics)Municipal solid wasteProcess (computing)BusinessPoliticsEngineeringLawPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The Low-Level Radioactive Waste Policy Act of 1980 and its 1985 Amendments has not provided new disposal capacity within the United States; however, sufficient disposal capacity currently exists to handle today's disposal needs. Politics, opposition groups, and public mistrust in government have combined to limit the possibilities for establishing new disposal facilities. In 2000, New Jersey (NJ and Connecticut (CT), as members of the Northeast Compact for the disposal of low-level radioactive waste, admitted South Carolina (SC) to their compact, renaming it as the "Atlantic Compact." The advantage to SC is that they are able to prevent disposal of waste from outside the Compact. The advantage to NJ and CT is that they are guaranteed waste disposal for approximately the next 50 years, or until all currently operating nuclear power plants in the states are decommissioned. This paper details the process, much of it not following the scientific method, to try to site a low-level waste facility in NJ. With the formation of the NJ Siting Board in 1987, an effort was made to locate a site using deterministic criteria; however, in 1992, the Board shifted to a voluntary process. In 1998, the Board made the determination that there was adequate capacity for waste disposal and ended active siting. In 2000, the opportunity to form the Atlantic Compact ended siting through an out-of-state solution. While it is not clear that the voluntary process would have ultimately worked in NJ, it has worked in Canada and the process may be one of the few mechanisms for the siting of any type of hazardous material disposal facility. Also, other states still have to decide what they will do after 2008 when Barnwell is no longer open to them.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.701

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0150.005
Scholarly communication0.0050.003
Open science0.0030.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.304
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2004
Admission routes1
Has abstractyes

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